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科研机构
自动化研究所 [3]
兰州理工大学 [2]
数学与系统科学研究院 [1]
内容类型
期刊论文 [6]
发表日期
2021 [6]
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Article The cell-surface 5 '-nucleotidase CD73 defines a functional T memory cell subset that declines with age
期刊论文
CELL REPORTS, 2021, 卷号: 37, 期号: 6, 页码: 24
作者:
Fang, Fengqin
;
Cao, Wenqiang
;
Zhu, Weikang
;
Lam, Nora
;
Li, Lingjie
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/04/02
Complete and Accurate Indoor Scene Capturing and Reconstruction Using a Drone and a Robot
期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 10, 页码: 11858-11869
作者:
Gao, Xiang
;
Zhu, Lingjie
;
Cui, Hainan
;
Hu, Zhanyi
;
Liu, Hongmin
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2021/06/07
Image reconstruction
Cameras
Robot vision systems
Drones
Pipelines
Robot localization
Indoor scene capturing and reconstruction
drone-robot cooperation
aerial map construction
ground robot localization
ground-to-aerial image merging
Slope reliability evaluation based on multi-objective grey wolf optimization-multi-kernel-based extreme learning machine agent model
期刊论文
Bulletin of Engineering Geology and the Environment, 2021, 卷号: 80, 期号: 3, 页码: 2011-2024
作者:
Ling, Qing
;
Zhang, Qin
;
Wei, Yuming
;
Kong, Lingjie
;
Zhu, Li
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/03/02
Geotechnical engineering
Knowledge acquisition
Landslides
Machine learning
Multiobjective optimization
Reliability analysis
Risk assessment
Coefficient of variation
Computational performance
Extreme learning machine
Machine learning methods
Probabilistic evaluation
Response surface method
Strength reduction method
Traditional techniques
Incremental Rotation Averaging
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 15
作者:
Gao, Xiang
;
Zhu, Lingjie
;
Xie, Zexiao
;
Liu, Hongmin
;
Shen, Shuhan
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/03/01
Rotation averaging
Incremental estimation
Accuracy and robustness
Urban Scene LOD Vectorized Modeling From Photogrammetry Meshes
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7458-7471
作者:
Han, Jiali
;
Zhu, Lingjie
;
Gao, Xiang
;
Hu, Zhanyi
;
Zhou, Liyang
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/11/03
Solid modeling
Three-dimensional displays
Buildings
Semantics
Image segmentation
Computational modeling
Shape
Urban reconstruction
building modeling
Markov random field
segment based modeling
Prediction of landslide displacement using multi-kernel extreme learning machine and maximum information coefficient based on variational mode decomposition: a case study in Shaanxi, China
期刊论文
NATURAL HAZARDS, 2021, 卷号: 108, 期号: 1, 页码: 925-946
作者:
Ling, Qing
;
Zhang, Qin
;
Zhang, Jing
;
Kong, Lingjie
;
Zhang, Weiqi
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2021/06/03
Kernel extreme learning machine
Kernel functions
Variational mode decomposition
Maximum information coefficient
Displacement prediction
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